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不同色谱技术与化学计量学分析在含唑菌胺酯为有效成分的植物保护产品真实性检测中的应用。

Application of different chromatographic techniques and chemometric analysis in authenticity testing of plant protection products containing azoxystrobin as an active substance.

机构信息

a Department of General Chemistry and Chromatography , Institute of Chemistry University of Silesia , Katowice , Poland.

b Pesticide Quality Testing Laboratory , Institute of Plant Protection - National Research Institute , Sosnicowice , Poland.

出版信息

J Environ Sci Health B. 2019;54(7):590-597. doi: 10.1080/03601234.2019.1610298. Epub 2019 May 3.

DOI:10.1080/03601234.2019.1610298
PMID:31046583
Abstract

Azoxystrobin (methyl(2E)-2-{2-[6-(2-cyanophenoxy)pyrimidin-4-yloxy] phenyl}-3-methoxyacrylate) is an active ingredient used to protect crops against fungal diseases. The experience of the Polish control laboratory indicates relatively frequent cases of counterfeit plant protection products (PPPs) containing this active substance. The present study aimed to use chemometric methods to model chemical fingerprints obtained by different chromatographic techniques to verify the original formulation of PPPs containing the active substance azoxystrobin. The pesticides used in the study came from different sources (including stores and warehouses), were manufactured at a different time and came from different production batches. The results obtained with the HPLC-DAD and HS-GC-MS techniques were then modeled using principal component analysis (PCA) and soft independent modeling by class analogy (SIMCA) classifier. The proposed approach has been confirmed as useful for verifying the authenticity of PPPs and can be used in the routine control testing of SC pesticides containing azoxystrobin.

摘要

唑菌酯(甲基(2E)-2-{2-[6-(2-氰基苯氧基)嘧啶-4-基]氧}苯基}-3-甲氧基丙烯酸酯)是一种用于保护作物免受真菌病害的有效成分。波兰控制实验室的经验表明,含有这种有效成分的假冒植物保护产品(PPPs)相对频繁。本研究旨在使用化学计量学方法对不同色谱技术获得的化学指纹进行建模,以验证含有唑菌酯有效成分的 PPPs 的原始配方。本研究中使用的农药来自不同的来源(包括商店和仓库),在不同的时间制造,来自不同的生产批次。然后使用高效液相色谱-二极管阵列检测(HPLC-DAD)和顶空-气相色谱-质谱联用(HS-GC-MS)技术对所得结果进行建模,使用主成分分析(PCA)和软独立建模分类法(SIMCA)分类器。该方法已被证实可用于验证 PPPs 的真实性,并可用于含有唑菌酯的 SC 农药的常规控制测试。

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